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Ex-OpenAI Employee Claims 70% AI Extinction Risk

By

@bamitav

–

23 May 2026 18h28

Ex OpenAI employee Daniel Kokotajlo claims of a 70% chance of human extinction from AI within ~5 years

All humans dead? Seriously? 😳 #extinction #artificialintelligence #AI @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA… pic.twitter.com/OPyuzwLa7d
— Amitav Bhattacharjee (@bamitav) 23 mai 2026

Ex OpenAI employee Daniel Kokotajlo claims of a 70% chance of human extinction from AI within ~5 years All humans dead? Seriously? #extinction #artificialintelligence #AI @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA

→ View original post on X — @bamitav,

23 May 2026
AI Progression: AGI, ASI, and Convergence Stages

By

@OlivierRimmel

–

23 May 2026 17h58

C'est facile de répondre à cette question. Nous avons 3 étapes à venir après l'IA. Prochaine étape, AGI.
Puis à l'étape suivante, ASI.
Et pour finir, CBT. AGI = Artificial General Intelligence (human-level)
ASI = Artificial Superintelligence (human surpassed)
CBT = Convergence

→ Voir le post original sur X — @olivierrimmel,

23 May 2026
Montreal.AI launches public forum for AGI-first to ASI-first era

By

@ceobillionaire

–

23 May 2026 17h57

MONTRÉAL.IA / http://
MONTREAL.AI is live on Eventbrite. Public Intelligence for the AGI-first → ASI-first Era. Briefings. Debates. Archives. Public record. http://
MONTREAL.AI convenes the public-intelligence forum for frontier AI, sovereign intelligence,

→ View original post on X — @ceobillionaire,

23 May 2026
Data Poisoning Risk in Edge AI Systems

By

@fogoros

–

23 May 2026 17h30

Did you know? Data poisoning emerges as a new risk for edge AI systems. Traditional cybersecurity focuses on network perimeters but edge AI requires validating data quality at the source. Partner content with TDK SensEI. #TDK_iioT pic.twitter.com/YBmV9x1gtC
— Lucian Fogoros (@fogoros) 23 mai 2026

Did you know? Data poisoning emerges as a new risk for edge AI systems. Traditional cybersecurity focuses on network perimeters but edge AI requires validating data quality at the source. Partner content with TDK SensEI. #TDK_iioT

→ View original post on X — @fogoros,

23 May 2026
AI Safety and Regulation: When Does AI Become Too Dangerous

By

@bernardmarr

–

23 May 2026 17h12

AI is evolving faster than regulation, governance and public understanding — and that raises an important question: when does AI become too dangerous to ignore? From autonomous decision-making and misinformation to cybersecurity threats and the potential loss of human

→ View original post on X — @bernardmarr,

23 May 2026
AI replaces pre-editing planning, not the editor

By

@godofprompt

–

23 May 2026 12h31

You don't need AI to replace your editor. You need AI to replace the 6 hours of planning, scripting, and creative decision-making that happens BEFORE you edit.

→ View original post on X — @godofprompt,

23 May 2026
Four Phases of AI in Academic Research: Core Principles

By

@alphasignalai

–

22 May 2026 23h00

First survey covering all 4 phases of AI in academic research. 5 Core Principles: > Structured tasks work. Judgment doesn't.
> Generation outpaces verification.
> AI assists humans, doesn't replace them.
> Explore. Execute. Verify.
> Disclosure beats detection.

→ View original post on X — @alphasignalai,

22 May 2026
Ethics Must Be Central to AI Design, Not Afterthought

By

@juanmerodio

–

22 May 2026 12h25

La ética en la ia no debería añadirse al final del proceso como un simple ajuste. Porque cuando se convierte en un parche, normalmente ya es demasiado tarde.

La innovación no consiste solo en crear herramientas más potentes, sino en diseñarlas con una visión humana pic.twitter.com/xVzzCQC0si
— Juan Merodio (@juanmerodio) 22 mai 2026

Ethics in AI shouldn't be added at the end of the process as a mere adjustment. Because when it becomes a patch, it's usually already too late. Innovation doesn't just consist of creating more powerful tools, but of designing them with a human vision

→ View original post on X — @juanmerodio,

22 May 2026
YouTube expands AI deepfake detection globally

By

@ronald_vanloon

–

22 May 2026 4h58

YouTube is expanding its #AI deepfake detection tool to all adult users
by Mia Sato @verge Learn more: https://
bit.ly/4nz1qB5 #GenerativeAI #ArtificialIntelligence #MachineLearning #ML #DL

→ View original post on X — @ronald_vanloon,

22 May 2026
AI models can be persuaded to accept falsehoods study

By

@ronald_vanloon

–

22 May 2026 3h58

You can persuade #AI models to accept falsehoods as truth, study shows
by Ashique KhudaBukhsh @_TCglobal Learn more: https://
bit.ly/4dPA5ao #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning

→ View original post on X — @ronald_vanloon,

22 May 2026

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